Optimizing Performance for Ridesharing service

Led end-to-end release of microservice, including planning, implementation, logging, monitoring, testing, and release.

Developed caching microservice to store Google distance matrix API, resulting in a 40% cost reduction.

Designed and developed REST APIs from scratch for features such as package booking, call masking, and ride status, leveraging Django FSM to handle state transitions. 

Integrated Amazon S3 for document upload to verify drivers and implemented S3 signed URL to render content.

Led a team to create a Pitch project, enabling users to find and book charging station time slots.